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Introduction
Installing OpenCV and Caer
Reading Images & Video
Resizing and Rescaling Frames
Drawing Shapes & Putting Text
5 Essential Functions in OpenCV
Image Transformations
Contour Detection
Color Spaces
Color Channels
Blurring
BITWISE operations
Masking
Histogram Computation
Thresholding/Binarizing Images
Edge Detection
Face Detection with Haar Cascades
Face Recognition with OpenCV's built-in recognizer
Deep Computer Vision: The Simpsons
Intro
Module 1: Getting Started with Images
Module 2: Basic Image Manipulation
Module 3: Image Annotation
Module 4: Image Enhancement
Module 5: Accessing the Camera
Module 6: Read and Write Videos
Module 7: Image Filtering and Edge Detection
Module 8: Image Features and Image Alignment
Module 9: Image Stitching and Creating Panoramas
Module 10: High Dynamic Range Imaging (HDR)
Module 11: Object Tracking
Module 12: Face Detection
Module 13: Object Detection
Module 14: Pose Estimation using OpenPose
Interview with OpenCV CEO, Dr. Satya Mallick
Introduction
Lesson 1: Changing color profiles in an image
Image Properties
Lesson 2: Edge Detection
Erosion and Dilation
Lesson 3: Image Manipulation-Noise Removal
Lesson 4: Drawing Shapes and Writing Text on Images
Intermediate Exercise 1: Color Detection
Intermediate Exercise 2: Face Detection
Intermediate Exercise 3: Shape Detection
Project 1: Ball Tracking
Project 2: Face Recognition
Intro
Introduction to Images
Installation - Windows
Installation - Mac
Chapter 1 - Read Images Videos and Webcams
Chapter 2 - Basic Functions
Chapter 3 - Resize and Crop
Chapter 4 - Drawing Shapes and Text
Chapter 5 - Warp Perspective
Chapter 6 - Color Detection
Chapter 7 - Shapes/Contour Detection
Chapter8 - Face Detection
Project 1 - Virtual Painter
Project 2 - Document Scanner
Project 3 - License Plate Detector